Routing method for heterogeneous network based on cognition

Abstract

The invention discloses a routing method for a heterogeneous network based on cognition, mainly solving the problem that the existing method considers only part of environment factors of the network, and neglects the dynamic complexity of a heterogeneous network environment so as not to cognize and predict the environment. The method comprises the following steps: firstly, judging the types of the existing available networks, perceiving a network environment state, evaluating the network environment state by using a Q-learning method and calculating end-to-end time delay and the estimated values thereof; secondly, using a utility function based on multiple parameters to obtain the utility values of various networks according to the perceived network environment state; then selecting the network with the biggest utility value by a probability of P=0.9, and selecting other available networks as target networks by the probability of 1-P; and finally continuously transmitting businesses, implementing network switch and updating the network environment state by the target networks. The routing method improves the utilization ratio of network resources, achieves load balance of the network and can be used in the heterogeneous network environment.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a routing method, in particular to a cognitive-based heterogeneous network routing method in a heterogeneous network, which is used for a mobile terminal in a wireless network to select a suitable network in an area covered by multiple networks. path transmission business. Background technique [0002] With the continuous development of communication technology, since the current spectrum resources are fixedly allocated, there are fewer and fewer spectrum resources available in the entire spectrum space, and the uneven allocation of spectrum resources is one of the problems that need to be solved urgently. Since the current network environment is restricted by many factors such as the shortage of spectrum resources and the constraints of radio wave transmission characteristics, it cannot continue to expand. Therefore, it is necessary to study a new network that can m...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art, and provide a cognitive-based heterogeneous network routing method to adapt to the complexity and dynamic variability of heterogeneous networks, comprehensively considering the relationship between user preferences, user types and network environments The interaction of the environment, cognition and prediction of the environment, to meet the needs of future network development

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